通过TCP连接到目标板的gdbserver或QEMU。 参数: - target: 目标地址，格式为 host:port (例如 192.168.1.100:1234 或 localhost:1234) 示例: - gdb_connect({target:
AI agents invoke gdb_connect to trigger actions in GDB MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool establishes a TCP connection to a remote gdbserver or QEMU instance, triggering an external network operation. It is not merely reading data; it actively initiates a session with a remote system. This fits 'Execute' as it triggers an external operation whose effects depend on the target argument.
From the tool's definition 通过TCP连接到目标板的gdbserver或QEMU — initiates an active network connection to an external debugging target
Attacks that exploit this kind of access
通过TCP连接到目标板的gdbserver或QEMU。 参数: - target: 目标地址，格式为 host:port (例如 192.168.1.100:1234 或 localhost:1234) 示例: - gdb_connect({target:. It is categorised as a Execute tool in the GDB MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GDB MCP Server MCP server in PolicyLayer and add a rule for gdb_connect: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GDB MCP Server. Nothing to install.
gdb_connect is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the gdb_connect rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for gdb_connect. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
gdb_connect is provided by the GDB MCP Server MCP server (zjm1060/gdb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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